An interpretable machine learning model for preoperative prediction of aldosterone secretion and CYP11B2 status of adrenal gland
A machine learning model integrating radiomics and clinical features enables noninvasive prediction of adrenal aldosterone secretion function and histopathological subtypes, with preliminary evidence of generalizability in an independent external cohort.
Authors
- Xiaomin Xu (ORCID: https://orcid.org/0000-0001-7431-5599)
- Zhicheng Liu (ORCID: https://orcid.org/0000-0002-5985-7303)
- Wenli Fang
- Xiangyang Gong
- Sixian Zhou
Institutions
- Zhejiang Chinese Medical University (CN)
- Hangzhou Normal University (CN)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1186/s12880-026-02226-1
- Primary Topic
- Hormonal Regulation and Hypertension
- Type
- article
- Field-Weighted Citation Impact
- 0.00